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Predicting Pulmonary Graft Loss Using Oxygen-enhanced MRI T1 Mapping in a Prospective Study
Milan Speth1,2, Till F Kaireit1,2, Marcel Gutberlet1,2
1Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg Straße 1, 30625 Hannover, Germany.
Oxygen-enhanced MRI T1 mapping parameters effectively predict chronic lung allograft dysfunction (CLAD)-related graft loss after lung transplantation. Delta T1 oxygenated volume (OV) emerged as the most consistent predictor of future graft loss in transplant recipients.
Area of Science:
- Radiology
- Pulmonary Medicine
- Transplant Surgery
Background:
- Chronic lung allograft dysfunction (CLAD) is a leading cause of graft loss after lung transplantation.
- Early detection of graft dysfunction is crucial for patient survival and management.
- Oxygen-enhanced MRI T1 mapping offers a non-invasive method to assess lung function and perfusion.
Purpose of the Study:
- To evaluate the predictive accuracy of oxygen-enhanced MRI T1 mapping parameters for detecting CLAD-related graft loss.
- To assess these parameters at 6-12 months post-transplant and over a 2.5-year follow-up period.
- To compare the predictive efficacy of MRI parameters with spirometry for graft loss.
Main Methods:
- A prospective, longitudinal study of 141 lung transplant recipients.
- Acquisition of oxygen-enhanced MRI T1 mapping parameters (OTF, delta T1 OV) at 6-12 months post-transplant and at 2.5-year follow-up.
- Kaplan-Meier survival analysis and Cox proportional hazards models were used to assess graft loss prediction.
Main Results:
- Oxygen-enhanced MRI parameters, including delta T1 median and delta T1 oxygenated volume (OV), predicted graft loss within 5.6 years post-transplant.
- At follow-up, changes in OTF, delta T1 OV, and FEV1 predicted poorer survival.
- Delta T1 OV demonstrated consistent predictive capability for future graft loss.
Conclusions:
- Oxygen-enhanced MRI T1 mapping parameters are effective predictors of CLAD-related graft loss.
- Delta T1 OV is a particularly reliable biomarker for predicting future graft loss in lung transplant recipients.
- These findings support the use of oxygen-enhanced MRI in monitoring lung allograft health.
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